{"repo":"armandcismaru/DeepTraderX","free":true,"listed":false,"github":"https://github.com/armandcismaru/DeepTraderX","clone":"git clone https://github.com/armandcismaru/DeepTraderX.git","description":"High-performing deep learning trader on a multithreaded financial exchange simulation.","language":"Jupyter Notebook","stars":21,"topics":["algorithmic-trading","deep-learning","finance","market-simulator","quantitative-trading","artificial-intelligence"],"license":"MIT","category":"machine-learning","readme_excerpt":"DeepTraderX (DTX) running in the Threaded-BSE ### 📖 Documentation Read the full documentation site → Architecture · trading agents · the ML model · configuration · deployment. (Source lives in docs/ ; automated agents should start with AGENTS.md.) This repository was created as part of my final individual project for the MEng Computer Science 4th year dissertation. It aims to explore the dynamics of a high performing, Deep Learning based trader, trained solely on data derived from the observation of Level-2 data from the Limit Order Book (LOB) of a simulated financial exchange. The project is using the Threaded Bristol Stock Exchange (TBSE) which was built with the purpose of replicating the asynchronous and parallel nature of real life markets, being a multithreaded extension of the Bristol Stock Exchange (BSE), created by Dave Cliff. The results of my research indicate positive results of DeepTraderX (DTX) versus the other, well established, public-domain literature. In some cases the profits are overwhelmingly higher. All the details can be found in my thesis. This work is the base of Cismaru, A. (2024). DeepTraderX: Challenging Conventional Trading Strategies with Deep Learning in Multi-Threaded Market Simulations., due to be presented at and published in the proceedings of ICAART 2024 in Rome, Italy. Feel free to message me if you want to use this work and need any details. Please star this repository if you find its contents useful. Running instructions Instructions fo","default_branch":null,"files":null,"tree":[],"storefront":"/r/armandcismaru","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/armandcismaru/DeepTraderX/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}